Caiyun Weather / 彩云天气 MCP Server for OpenAI Agents SDK 8 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Caiyun Weather / 彩云天气 through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with MCPServerStreamableHttp(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
) as mcp_server:
agent = Agent(
name="Caiyun Weather / 彩云天气 Assistant",
instructions=(
"You help users interact with Caiyun Weather / 彩云天气. "
"You have access to 8 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from Caiyun Weather / 彩云天气"
)
print(result.final_output)
asyncio.run(main())
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About Caiyun Weather / 彩云天气 MCP Server
Empower your AI agent to orchestrate your environmental monitoring and high-precision weather forecasting with Caiyun Weather (彩云天气), the pioneer of minute-level precipitation forecasting in China. By connecting Caiyun to your agent, you transform complex meteorological data, air quality auditing, and long-term forecasts into a natural conversation. Your agent can instantly retrieve real-time conditions for any coordinate, provide hyper-local rain alerts for the next two hours, and audit historical or forecast trends without you ever needing to navigate a weather map. Whether you are planning outdoor logistics or monitoring air quality for retail branches, your agent acts as a real-time environmental coordinator, providing accurate and fast results from a single, authorized source.
The OpenAI Agents SDK auto-discovers all 8 tools from Caiyun Weather / 彩云天气 through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Caiyun Weather / 彩云天气, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
What you can do
- Minute-Precision Rain — Access hyper-local precipitation forecasts for the next 120 minutes with high resolution.
- Real-time Auditing — Retrieve current temperature, humidity, visibility, and wind conditions for specific coordinates.
- Air Quality Monitoring — Access real-time AQI and pollutant data (PM2.5, PM10) across mainland China.
- Long-term Forecasting — Retrieve detailed hourly and daily weather trends for up to 15 days.
- Geographic Flexibility — Query any location using Longitude,Latitude (GCJ-02) or administrative codes.
The Caiyun Weather / 彩云天气 MCP Server exposes 8 tools through the Vinkius. Connect it to OpenAI Agents SDK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect Caiyun Weather / 彩云天气 to OpenAI Agents SDK via MCP
Follow these steps to integrate the Caiyun Weather / 彩云天气 MCP Server with OpenAI Agents SDK.
Install the SDK
Run pip install openai-agents in your Python environment
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
Run the script
Save the code above and run it: python agent.py
Explore tools
The agent will automatically discover 8 tools from Caiyun Weather / 彩云天气
Why Use OpenAI Agents SDK with the Caiyun Weather / 彩云天气 MCP Server
OpenAI Agents SDK provides unique advantages when paired with Caiyun Weather / 彩云天气 through the Model Context Protocol.
Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety
Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure
Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate
First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output
Caiyun Weather / 彩云天气 + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Caiyun Weather / 彩云天气 MCP Server delivers measurable value.
Automated workflows: build agents that query Caiyun Weather / 彩云天气, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries Caiyun Weather / 彩云天气, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Caiyun Weather / 彩云天气 tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query Caiyun Weather / 彩云天气 to resolve tickets, look up records, and update statuses without human intervention
Caiyun Weather / 彩云天气 MCP Tools for OpenAI Agents SDK (8)
These 8 tools become available when you connect Caiyun Weather / 彩云天气 to OpenAI Agents SDK via MCP:
get_aqi_info
Get air quality index
get_daily_forecast
Get daily weather forecast
get_hourly_forecast
Get hourly weather forecast
get_minutely_rain
Get minute-precision rain
get_precipitation_probability
Check rain probability
get_realtime_weather
Get real-time weather
get_visibility_data
Get visibility distance
get_wind_conditions
Get wind speed and direction
Example Prompts for Caiyun Weather / 彩云天气 in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Caiyun Weather / 彩云天气 immediately.
"What is the real-time weather at coordinates 121.47,31.23 (Shanghai)?"
"Will it rain in the next 2 hours at 116.40,39.90 (Beijing)?"
"Check the air quality index for coordinates 113.26,23.12 (Guangzhou)."
Troubleshooting Caiyun Weather / 彩云天气 MCP Server with OpenAI Agents SDK
Common issues when connecting Caiyun Weather / 彩云天气 to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Caiyun Weather / 彩云天气 + OpenAI Agents SDK FAQ
Common questions about integrating Caiyun Weather / 彩云天气 MCP Server with OpenAI Agents SDK.
How does the OpenAI Agents SDK connect to MCP?
MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.Can I use multiple MCP servers in one agent?
MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.Does the SDK support streaming responses?
Connect Caiyun Weather / 彩云天气 with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Caiyun Weather / 彩云天气 to OpenAI Agents SDK
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.
